*NEW RESEARCH* Graph databases: Weaving frictionless business; accelerating AI/ML

One thing we can be sure of about the COVID-19 pandemic is that it will impact business. As TechMarketView considers the effect on the UK tech market, one area we are exploring is the types of technology organisations could turn to, to address operational strengths and weaknesses uncovered during the initial COVID-19 response and do things differently in the recovery phase. One such technology is the graph database. 

Read Graph databases: Weaving the frictionless business; accelerating AI/ML for our analysis of the potential of this technology. 

Defined by the ability to handle multi-faceted relationships between data entities, this characteristic is valuable in situations where the connections between the data are as, or more, important than the individual data points: contact tracing for disease control for example; understanding how influencers connect to the decision making processes when approaching a prospective customer, or deepening the quality of the relationship with an existing client; making sense of behavioural change. TechMarketView also believes graph databases and analytics has a role to play in accelerating the adoption and operationalisation of AI/Machine Learning. 

The technology is not a silver bullet course, and will add to the database estate rather than replace stalwart relational databases, but the ability to handle complex connections and surface relationship-based insights stands to bring a new dimension to data and contribute to the fabric of digitally enabled frictionless operations. 

TechMarketView TechSectorViews clients can download the report here. Alternatively, email Deb Seth if you are not a client and would like details of how to access TechMarketView research and surrounding services. 

Posted by Angela Eager at '19:01' - Tagged: software   AI   machinelearning   data   database